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Researchers often model real observations using the normal distribution, but sometimes the real distribution is a bit different from the perfect, normal distribution. List some reasons why researchers might make approximations like this and describe at least one situation when researchers should not use this approximation.
Please provide a real world examples from a professional field(possibly related to IT)
From the given probability distribution finite the mean and standard deviation.
consider a uniform density curve defined from x 0 to x 8. what percent of observations fall between 1 and 5?a 0.20b
Is there evidence of a difference in the median performance between the two methods? (Use x = 0. 05).
There high schools have senior classes of size 100, 400, and 500, respectively. Here are two schemes for selecting a student from among the three senior classes
Continuing Problem 8.4.9, in the mapping of the bit sequence b2b1b0 to the symbols si, we wish to determine the probability of error for each input bit bi. Let qi denote the probability that bit bi is decoded in error.
(a) Calculate Dr Savage's long-run average cost of writing by dividing the total cost by Q.
Further, suppose that we know that the population standard deviation of everyone who is 17 years old is 0.6 degrees.
Repeated random samples of the same size are taken from the same population. Which of the following would you expect to see?
a recent gallup poll found that of 800 randomly selected drivers surveyed 70 thought they were better than verage
An independent random sample of 250 items made by supplier B reveals that 38 are defective. Is one supplier more reliable than the other? Explain.
You have two unbiased estimates, e 1 and e 2 , of a quantity with variances V 1 and V 2 respectively, and covariance Cov {e1,e 2 } = C. Form a new unbiased estimate:
Make a decision using the Decision Rule approach at given α = 0.05.
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